Weatherstack to Metabase Integration
AI-first ETL from Weatherstack into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Weatherstack into Metabase
Datrise syncs Weatherstack's current conditions, forecasts, historical readings, locations, temperature readings, and observation times into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
Weatherstack: Current, historical, and forecast weather lookups.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Weatherstack entities map to Metabase
| Weatherstack entity | Metabase object | Notes |
|---|---|---|
| current conditions | weatherstack_current_conditions | id PK · custom fields → flattened columns for the question builder |
| forecasts | weatherstack_forecasts | id PK · linked to weatherstack_current_conditions |
| historical readings | weatherstack_historical_readings | temporal columns for trends events |
| locations | weatherstack_locations | id PK · linked to weatherstack_current_conditions |
FAQ
How does Datrise handle Weatherstack's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the Weatherstack to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Weatherstack
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